Current Ph.D. Students

• Jairo Peña Hidalgo (2020-Present)
  2024 Award for Outstanding Performance as a Teaching Assistant
• Jiaheng Li (2020-Present)
  2022 Florida ASA Chapter Student Presentation Award
• Shubham Dhumal (2024-Present)
  2024 recipient of the Dean's Award for Doctoral Excellence
• Guang Qiu (2024-Present)
• Joel Carrol (2024-Present)
  2024 recipient of the Dean's Award for Doctoral Excellence

Courses Taught

• STA 3032 Applied Statistics for Engineers and Scientists
  Calculus based introduction to probability and statistics for undergraduate students in engineering and data science disciplines.
• STA 4321/5323 Introduction to Mathematical Statistics
  Advanced undergraduate course teaching the goundations of probability theory necessary for a first course in mathematical statistics.
• STA 4322/5325 Mathematical Statistics
  Advanced undergraduate course in mathematical statistics.
• STA 5934 Selected Topics in Statistics, Probability, and Operations Research
  Topic: Introduction to statistical network analysis, covering the foundations of graphs and network data, probability distributions for graph spaces, statistical models for network data, and statistical methods and theory for estimation and inference.
• STA 6346 Advanced Probability and Inference I
  The first semester of a two semester measure theoretic probability sequence for students enrolled in the statistics and biostatistics Ph.D. programs. The first semester focuses on the foundations of probability theory. This course is a required qualifying exam course for the Ph.D. programs in statistics and biostatistics.
• STA 6448 Advanced Probability and Inference II
  The second semester of a two semester measure theoretic probability sequence for students enrolled in the statistics and biostatistics Ph.D. programs. The second semester focuses on advanced convergence concepts and limit theory and statistical estimation and inference. This course is a required course for the Ph.D. programs in statistics and biostatistics.